Factorial Split-Plot Designs for Hard-to-Change Factors (FSPD)

Real-world experimentation often includes factors that are easy-to-change and hard-to-change. Split-plot designs deal with these restrictions on randomization. This half-day “add-on” to the Experiment Design Made Easy workshop shows you how to set up these practical factorial designs and analyze the results. This is the workshop that resolves real-world randomization issues!

Details

Real-world experimentation often requires restrictions on randomization to make the experiment easier to run. Split-plot designs make this possible. This half-day “add-on” to the Experiment Design Made Easy workshop shows you how to set up these practical factorial designs and analyze the results, accounting for the differing variances in the hard-to-change (HTC) factors versus the easy-to-change (ETC) factors. As you will learn in this computer-intensive workshop, the split-plot structure also dramatically affects the power for detecting effects relative to a completely randomized design. Power for HTC factors is lower and for ETC factors higher. Delve into the pros and cons of using split-plot designs and gain proficiency in setting them up and capitalizing on the results. This is the workshop that resolves real-world randomization issues!